IBM’s new AI chip offers 22X speedup with ‘mind-blowing’ energy efficiency

According to research study published in Science Magazine on Oct. 19, the brand-new chip, called NorthPole, “achieves a 25 times higher energy metric” on a relevant criteria, “and a 22 times lower time metric of latency. Utilizing currently available architecture, AI chips tend to have faster processing capabilities than the memory they need to run processes. Publishing this week in @ScienceMagazine, IBM Researchs latest prototype AI chip, NorthPole, might help us move toward more energy-efficient AI.

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According to IBM Research, the brand-new model chip constructed in the businesss Alamaden, California lab bypasses the von Neumann bottleneck by, basically, incorporating the memory element onto the processing chip itself. As the chips lead developer, Dharmendra Modha, puts it, NorthPole is “a whole network on a chip” that “creates an entirely different course from the von Neumann architecture.”” The NorthPole chip on a PCIe card.” Image source: IBM ResearchThe criteria used to show the chips efficiency, ResNet50, is a 50-layer neural network mainly utilized to evaluate computer vision jobs such as image category. The NorthPole hardwares reported results on this benchmark indicate that it might carry out incredibly well at associated jobs such as self-governing surgical treatment, operation of self-driving vehicles and other cars, and many robotics-related ventures. IBM Research is currently years into research study on the next chip using the NorthPole architecture. According to the company blog, “this is just the start of the work for Modha on NorthPole.”

Publishing this week in @ScienceMagazine, IBM Researchs newest model AI chip, NorthPole, might help us move towards more energy-efficient AI. According to IBM Research, the new prototype chip built in the companys Alamaden, California laboratory bypasses the von Neumann traffic jam by, essentially, incorporating the memory part onto the processing chip itself. IBM Research is currently years into research on the next chip utilizing the NorthPole architecture.